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ORCIDIGSC 2026: Canandaigua, NY, USA
- Fan Chen, Peipei Zhou, Ramtin Zand, Arman Roohi, Jingtong Hu, Xiaoxuan Yang:
Proceedings of the 16th ACM International Green and Sustainable Computing Conference, IGSC 2026, CanandaiguaUSA, June 22-24, 2026. ACM 2026, ISBN 979-8-4007-2520-3
Technical Session 1: Energy & Thermal Management
- Jason Crop
, Hayden Moore, Sudeep Pasricha:
Revisiting "Cooler is Better": ITD-Aware Per-CPU Thermal Optimization for Sustainable Data Center Operation. 1-7 - Kartik Hans, Kaiwen Zhao, Stephen Lee:
CarbonSim: A Lifecycle-Aware Framework for Evaluating Carbon Tradeoffs in Hardware Upgrade Decisions. 8-13 - Dayuan Chen, Ziliang Zong:
Hyperparameter Auto-tuning for Sustainable LLM Fine-tuning. 14-20 - Dayuan Chen, Ziliang Zong:
Carbon-Aware Workload Simulation for Reducing AI Inference Energy. 21-27 - Hayden Moore, Sirui Qi, Dejan S. Milojicic, Cullen E. Bash, Sudeep Pasricha:
MARLIN: Multi-Agent Game-Theoretic Reinforcement Learning for Sustainable LLM Inference in Cloud Datacenters. 28-35 - Jacob Goldverg, Elvis Rodrigues, Tevfik Kosar:
Carbon-Aware Spatiotemporal Scheduling of Data Transfers. 36-41 - Pranav Reddy Danda, Xue Li:
Energy Profiling of Pruned LLMs During Python Code Generation. 42-47
Technical Session 2: Application Design, Methodologies
- Oluwaseun Adekola, Hong Ding, Sepehr Tabrizchi, Arman Roohi:
DART: Dynamic Activity-Aware ROI and Temporal Adaptation for Energy-Efficient Edge Vision. 48-53 - Karoline Sund Wahl, Taufik Akbar Sitompul, Kjetil Nordby:
Assessing Haptic Eco-Feedback in Ship Bridges: A Technology Acceptance Model Study. 54-61 - Arshia Eslami, Mahsa Ardakani, Amin Roostaee, Hasti Zanganeh, Ramtin Zand:
Energy and Carbon Footprint of Vision-Language-Action Model Inference for Edge Robotic Systems. 62-67 - Shixin Ji, Zhuoping Yang, Xingzhen Chen, Alex K. Jones, Peipei Zhou:
Advancing Environmental Sustainability in Data Centers via Carbon Depreciation Models. 68-74 - Ali Shafiee Sarvestani, Sepehr Tabrizchi, Arman Roohi:
REACT: Rethinking the Embodied Aging-Aware Carbon of Transient Intermittent Computing Systems. 75-77 - Rhimesh Lwagun, Guangyu Jiang, Justin Lukose, Olasubomi Rufai, Xiaoyue Hu, Yan Fang:
Energy-Aware Coordination of Autonomous Multi-Robot Systems via Small Language Model. 78-82 - Ali Shafiee Sarvestani, Rebati Raman Gaire, Arman Roohi:
CONFINE: Confidence-Gated Coarse-to-Fine Neural Inference for Energy-Efficient Edge Classification. 83-88
Special Session 1: Neuromorphic Computing
- Karan Patel, Bryson Gullett, Ian Mulet, Eric Vaughan, Ethan Maness, Tyler Nitzsche, Emma G. Brown, James S. Plank, Catherine D. Schuman:
NWRIST: Neuromorphic Wearable for Real-Time Intelligent Sensing Technology. 89-94 - Prasanna Date:
Spiking Artificial Intelligence. 95-96 - Vikram Ramavarapu, Zachary Johnson-Scott, Ashish Gautam, Ramakrishnan Kannan:
Cross-Domain Reasoning for Neuromorphic Model Design. 97-102 - Frances S. Chance, Suma George Cardwell:
Neuromorphic Dendrites for Energy-Efficient Computation. 103-104 - Zachary Johnson-Scott, Robert M. Patton, Chieh Ross Wang, Ashish Gautam, Shruti R. Kulkarni, Hanlin Chen, Adian Cook, Nicholas Quentin Haas:
ObstacleSense: Low-Power Neuromorphic Vision for Corridor Obstacle Awareness in Low-Level ADAS. 105-112 - Guojing Cong, Ashish Gautam, Shruti R. Kulkarni, Seung-Hwan Lim:
Towards Energy-Efficient LLM Inferencing on Analog Devices via Algorithm-Hardware Co-Design. 113-119
Special Session 2: Quantum Applications
- Harshitta Gandhi, Zhipeng Deng:
Quantum Reinforcement Learning for Air Conditioning Control Based on Variational Quantum Circuits. 120-125 - Jiarong Xu, Qiwei Chen, Adel Nasiri, Ramtin Zand:
Quantum-Enhanced Imitation Learning for Smart Grids Topology. 126-131 - Siyuan Niu, Di Wu, Ozgur Kilic, Kwangmin Yu:
Estimating The Energy Consumption of Quantum Computing from A Full System Aspect. 132-137 - Md. Saif Hassan Onim, Himanshu Thapliyal:
Scalability Analysis of Quantum Machine Learning for Data Tampering Detection in Physiological Signals. 138-142
Special Session 3: Sustainable Distributed AI
- Parsa Mirfasihi, Arthur Kim, Hariharan Ramesh, Josh Dean, Melika Akbarsharifi, Roxana Akbarsharifi, John Paul Martin Encinas, Pratik Satam, Jyotikrishna Dass, Rozhin Yasaei, Soheil Salehi:
FedLLM4HW: Carbon-Aware Federated Triage of Hardware Weaknesses in LLM-Generated Verilog Code. 143-148 - Hasti Zanganeh, Lydia Dede Obeng, Hariharan Ramesh, James Seekings, Jyotikrishna Dass, Ramtin Zand:
SpikeFed: Federated Training of Spiking Neural Networks for Event-Based Vision. 149-155 - Bipin Thapa Magar, Samrat Pravin Patel, Ishan G. Thakkar:
Carbon at the Memory Wall: Lifecycle and Aging-Aware Analysis of Processing-in-DRAM LLM Servers. 156-162
Special Session 4: Carbon-Aware AI Systems
- Salma Afifi, Vigneswaran Ravindran, Ishan G. Thakkar, Sudeep Pasricha:
Sustainable AI Accelerators with Silicon Photonics for Sequence Learning Applications. 163-168 - Pallavi Ramicetty, Hayden Moore, Sirui Qi, Akhirul Islam, Manojit Ghose, Dejan Milojicic, Cullen E. Bash, Sudeep Pasricha:
Sustainable Graph Analytics Workload Scheduling with Evolutionary Reinforcement Learning in Edge-Cloud Systems. 169-176 - Chetan Choppali Sudarshan, Aman Arora, Vidya A. Chhabria:
Toward Sustainable Computing with FPGAs and Chiplets. 177-182 - Xingzhen Chen, Shixin Ji, Zheng Dong, Peipei Zhou:
To Overlay or to Customize? Revisiting Architectural Choices in Heterogeneous Systems. 183-188
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